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Hire Mulugeta Abrham A.

China

PhD Researcher in AI for Healthcare | Biomedical Engineer | Machine Learning & Healthcare Data Science Consultant

Profile Summary

Biomedical Engineer and MSc graduate in Information & Communication Engineering from Huazhong University of Science and Technology, China. Skilled in applying artificial intelligence, machine learning, and bioinformatics to healthcare challenges, with research experience in multi omics data integration and transformer-based models for cancer recurrence prediction. Committed to advancing precision medicine through innovative, data-driven solutions that enhance patient care and outcomes.

Subject Matter Expertise

• ★ Biomedical Engineering
• ★ Machine Learning
• ★ Artificial Intelligence
• ☆ Molecular Biology
• ☆ Omics
• ☆ Data Analysis
• ☆ Bioinformatics

Services

• Writing
• Research
• Data & AI

Writing Technical Writing

Research User Research, Fact Checking, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization

Work Experience

Biomedical Engineer

Armed force comprehensive specialized Hospital

January 2022 - January 2023

Biomedical Engineer (Intern)

St. Paul's Hospital Millennium Medical College

October 2021 - February 2022

Education

PhD

University of Science and Technology of China (USTC)

September 2025 - Present

masters degree (Information and Communication Engineering)

Huazhong University of Science and Technology

September 2023 - June 2025

Bachelors degree (Biomedical Engineering)

Hawassa University

July 2017 - June 2022

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

M. A. Aragaw, P. Kubare, J. Y. Conteh, X. Hei and Y. Tian, "Predicting Ovarian Cancer Recurrence in a Multi-Omics Pathway Transformer Approach," 2025 6th Information Communication Technologies Conference (ICTC), Nanjing, China, 2025, pp. 335-339, doi: 10.1109/ICTC67375.2025.11291716. https://ieeexplore.ieee.org/document/11291716 .

P. Kubare, M. A. Aragaw, J. Yusifu Conteh, X. Hei and Y. Tian, "Ovarian Cancer Survival Analysis in a Boundary Uncertainty-Adjusted Network Architecture," 2025 6th Information Communication Technologies Conference (ICTC), Nanjing, China, 2025, pp. 308-312, doi: 10.1109/ICTC67375.2025.11292280. https://ieeexplore.ieee.org/document/11292280 .

Mulugeta Abrham Aragaw, Peter Kubare, Nuudhano Hilma Nakale, Xiaojun Hei, Yuan Tian (2025). Designing a Hybrid Transformer-LSTM Model to Enhance Ovarian Cancer Survival Analysis .

Mulugeta Abrham Aragaw, Peter Kubare, Nuudhano Hilma Nakale, Xiaojun Hei, Yuan Tian (2025). Designing a Hybrid Transformer-LSTM Model to Enhance Ovarian Cancer Survival Analysis . Proceedings of the 2025 9th International Conference on Medical and Health Informatics.

Kubare, P., Nakale, N.H., Aragaw, M.A., Hei, X., Tian, Y.(2025). Designing a Hybrid Transformer-LSTM Model to Enhance Ovarian Cancer Survival Analysis . Icmhi 2025 2025 9th International Conference on Medical and Health Informatics. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 202-210.

Kubare, P., Nakale, N.H., Aragaw, M.A., Hei, X., Tian, Y.(2025). Designing a Hybrid Transformer-LSTM Model to Enhance Ovarian Cancer Survival Analysis . Icmhi 2025 2025 9th International Conference on Medical and Health Informatics. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 202-210.